A new study conducted by Workday reveals a concerning lack of trust between business leaders and employees when it comes to the responsible development and deployment of artificial intelligence (AI) in the workplace. While both groups recognize the potential benefits of AI for business transformation, there is skepticism regarding whether it will be implemented in a responsible manner.
The survey found that only 62% of business leaders and even fewer employees, at 52%, welcome the adoption of AI in their organizations. This discrepancy highlights the deeper level of skepticism among employees compared to their leadership counterparts. Furthermore, 23% of employees do not have confidence that their organization prioritizes employee interests when implementing AI.
Notably, a majority of business leaders, 70%, agree that AI should be developed in a way that allows for human review and intervention. However, 42% of employees feel that their company lacks a clear understanding of which systems should be fully automated and which require human intervention.
The study also reveals a lack of collaboration and communication regarding AI regulation within organizations. Three-quarters of employees state that their organization is not actively participating in AI regulation, and four in five employees report that their company has not shared guidelines on responsible AI use.
To address this trust gap, Workday’s chief technology officer, Jim Stratton, emphasizes the importance of adopting a comprehensive approach to AI responsibility and governance. He suggests that organizations prioritize policy advocacy to strike the right balance between innovation and trust.
It is clear that there is a need for ethical standards and transparent AI governance to build trust among leaders and employees. The survey results indicate that organizations must bridge this trust gap by involving employees in AI decision-making processes and providing clear guidelines on responsible AI use. Only then can organizations fully harness the transformative potential of AI while ensuring ethical and responsible practices.
The source of the article is from the blog oinegro.com.br